3D shape scanning with a time-of-flight camera
By Yan Cui, Sebastian Schuon, Derek Chan, Sebastian Thrun, Christian Theobalt. 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
356 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geology, Instrumentation
View Paper: https://www.semanticscholar.org/paper/a55c83982dc0fbea23cbabdce1d5ddfa3591ab5c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Jitendra Malik
- Ming-Hsuan Yang
- Dacheng Tao
- Xiaogang Wang
- Andrea Vedaldi
- Trevor Darrell
- Andrew Zisserman
In Geology
- Dieter Fox
- Shahram Izadi
- Andrew J. Davison
- Richard A. Newcombe
- Matthias Nießner
- Xiaofeng Ren
- Peter Henry
- Michael Krainin
In Instrumentation
Citations in the corpus
- Patch Based Synthesis for Single Depth Image Super-Resolution (2012, background): “Fusing multiple sets of noisy scans has also been demonstrated for effective scanning of individual 3D shapes [14].”
- RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments (2012, background): “[9] combine super-resolution and EMbased non-rigid registration to scan 3D objects with a ToF camera.”
- KinectFusion: Real-time dense surface mapping and tracking (2011, background): “[6] demonstrate a moving handheld ToF object scanner.”
- KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera (2011, methodology): “While there has been work on using mesh-based representations for live reconstruction from passiveRGB [18,19,20] or activeTime-of-Flight (ToF) cameras [ 4 , 28], these do not readily deal with changing, dynamic scenes.,This differentiates KinectFusionfrompriordensereconstructionsystems, which have e”
- Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation (2013, methodology): “[4] used a set of fused depth maps with larger displacements .”
- Joint Depth and Color Camera Calibration with Distortion Correction (2012, background): “There is a particular need to calibrate the Kinect device because it delivers depth information in Kinect disparity units (kdu), whose conversion to metric units changes for each device.”
- Optical methods for distance and displacement measurements (2012, background): “Recently time-of-flight cameras have been introduced [36–38], permitting simultaneous measurement of distances to objects detected by different pixels.”